DocumentCode :
2659735
Title :
Parameter identification about enhanced magnetism motor
Author :
Zhifu, Wang ; Cheng, Zhang
Author_Institution :
Sch. of Mech. & Vehicle Eng., Beijing Inst. of Technol., Beijing
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
238
Lastpage :
241
Abstract :
Taking system dynamic mathematics model as the investigated subject, set up the speed identification adaptive system of the enhanced magnetism motor system on the basic of model reference adaptive system and POPOVpsilas hyperstability theory. Derive the equivalence nonlinear feedback system of the speed identification adaptive system. Prove its stability and dynamic follow character. There is no pure integration, moment of inertia and system load in the speed estimation system. Taking system mechanic model as the verified subject, studied the speed estimation algorithms performance when the system works in drive, regenerative braking operation mode and disturbance happens to the motor system. The results show that the identification speed can follow the real speed quickly in above all operation modes and the estimation error is small.
Keywords :
feedback; machine control; magnetism; model reference adaptive control systems; nonlinear control systems; parameter estimation; stability; velocity control; POPOV hyperstability theory; equivalence nonlinear feedback system; magnetism motor system; model reference adaptive system; prameter identification; regenerative braking operation mode; speed estimation algorithms; speed identification adaptive system; system dynamic mathematics model; Adaptive control; Adaptive systems; Digital video broadcasting; Electronic mail; Nonlinear dynamical systems; Parameter estimation; Programmable control; Pulse width modulation; Tellurium; Vehicle dynamics; Enhanced magnetism motor system; Model reference adaptive System; Parameter identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4605127
Filename :
4605127
Link To Document :
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